OpenAI

QA Engineer

• Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., ultra-pass / cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions.
• Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures.
• Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and mass production.
• Build and execute qualification strategies for cables/connectors/patch panels (mechanical, environmental, electrical, and reliability), including test coverage, sample plans, clear pass/fail criteria, defining installation criteria and processes, optics termination quality management and setting fiber standards criteria.
• Partner with engineering and operations to drive smooth ramp: risk assessments, pilot build learnings, change control, and readiness reviews (EVT/DVT/PVT/MP or equivalent phases).
• Own supplier and CM performance management: scorecards, audits (process and quality system), and follow-up to close findings with verified effectiveness
• Work with suppliers to improve manufacturing throughput, stability, and yields for cable and connector assembly processes (e.g., wire prep, welding/crimping, overmolding/injection molding, plating, and assembly fixturing).
• Lead rapid containment and root-cause investigations for failures found during bring-up, system integration tests, reliability testing, and fleet deployments.
• Own the end-to-end corrective action process (8D, 5-Whys, Ishikawa, DOE as needed): define problem statements, isolate variables, validate root cause, implement fixes, and verify effectiveness.
• Partner with SI/PI and test teams to correlate electrical performance issues (e.g., link margin, BER, eye closure, impedance discontinuities, PAM4, TDR and VNA) with manufacturing and mechanical drivers (connector wear, plating, contamination, misalignment, cable routing, assembly variation).
• Support integration and deployment of OpenAI supercompute racks in lab and data center environments; identify quality risks tied to shipping, handling, installation, and service operations.

Component and Product Quality Engineer, Interconnects

Program Manager

• Co-design, lead, and scale the M&A People XFN workstream program, driving end-to-end management of timeline, candidate experience, and key touchpoints that enable smooth deal execution and set the stage for positive onboarding and integration.
• Build and uplevel playbooks, processes, and communications to support increasing deal volume and complexity, creatively solving for new challenges while ensuring clarity, alignment, and efficiency across cross-functional stakeholders (ex: Recruiting Operations, Comms, Events, etc.)
• Deliver a high-impact candidate and acquired team experience, including producing events such as Town Halls, onboarding customizations, and cultural moments that reflect OpenAI’s mission.
• Partner closely with senior leaders, founders, and acquired teams, demonstrating executive presence and the ability to navigate sensitive situations and competing priorities.
• Lead post-mortem retrospectives for People XFN both at a deal and program level to build repeatable playbooks/process improvement for future deals.
• Liaise with Recruiting Operations and cross-functional partners to build and scale efficient M&A recruiting processes and tools. This may include initiatives related to headcount tracking and allocation, offer creation and issuance, confidentiality workflows, etc.
• Flex into other high-priority areas of Strategic Initiatives as needed.

Program Manager, M&A Recruiting

Affiliate Manager

• Collaborate with HR Business Partners, Business Leaders, and Recruiting to address compensation-related issues and provide solutions that support business goals.
• Own offer approvals and offer analysis, capturing emerging market trends and ensuring offers are consistent with our compensation philosophy.
• Manage the benchmarking process to ensure our compensation strategies are competitive and aligned with market standards.
• Foster strong relationships with cross-functional partners and gain a deep understanding of the talent within each organizational unit.
• Support compensation design and optimization, including job architecture and sales compensation.

Compensation Business Partner

Data Analyst

• Lead the development and maintenance of compensation analytics, including market pricing, internal equity analysis, and performance-informed pay insights.
• Translate complex or incomplete data into clear, decision-ready recommendations for Compensation leaders, HRBPs, and recruiting partners.
• Partner with cross-functional teams (Recruiting, People Analytics, Equity, Finance) to support hiring, promotion, and retention decisions.
• Apply advanced analytical methods — including modeling, scenario analysis, and structured assumptions — to address gaps in market data or emerging roles.
• Identify opportunities to improve compensation workflows, tools, and reporting, balancing analytical rigor with speed and usability.
• Contribute to the responsible use of AI and automation in compensation analysis, with appropriate guardrails and explainability.
• Coach and review the work of more junior analysts as needed; may directly manage 1–2 ICs depending on team structure.

Compensation Analytics Manager

Full-stack Engineer

• Build and ship mission-critical features in the ChatGPT Apps SDK and broader platform.
• Collaborate with Product Management, Security, Trust & Safety, Research, and Engineering to design and deliver developer-first experiences.
• Own features end-to-end: from early design and technical direction through implementation, launch, and iteration.
• Build scalable services and APIs, and develop polished UI surfaces that support publishing, discovery, and app capabilities.
• Help set enduring technical direction—shipping foundations that become new product areas over time.
• Contribute to team best practices in testing, architecture, and overall SDLC quality.

Full-Stack Engineer, ChatGPT Ecosystem – Apps Platform & SDK

Infrastructure Engineer

• Partner with hardware teams on workflows and tooling: Embed with teams across DV, PD, emulation, formal, and software to understand development flows, identify failure modes, and deliver tooling (CLIs, services, APIs) that reduces manual work and accelerates iteration.
• Build and operate regression systems at scale: Own regressions end-to-end—from definition and scheduling to execution, results ingestion, triage, and reporting—while improving throughput, reproducibility, and flake reduction.
• Own CI/CD for infrastructure and tooling: Design and operate pipelines for infrastructure-as-code, services, images, and cluster configuration changes, including testing, gated deploys, staged rollouts, and safe rollback.
• Run cloud and HPC platforms: Design, provision, and operate cloud infrastructure (Azure preferred) and HPC/HTC clusters (e.g., Slurm), tuning scheduling policies, autoscaling, node lifecycles, and cost-performance tradeoffs.
• Build data foundations and visibility: Develop ETL pipelines to ingest metrics, logs, and results; operate databases for workflow metadata and outcomes; and build dashboards that surface efficiency, utilization, and reliability trends.
• Drive operational excellence: Establish monitoring and alerting, lead incident response and postmortems, maintain runbooks, and produce clear, durable documentation.

Hardware Development Infrastructure Engineer

Analytics Engineer

• Build and maintain business‑facing data models in Databricks and SQL that power REW reporting and planning.
• Develop and manage data pipelines for Tableau dashboards used by site leaders, operators, and executives.
• Define and maintain canonical REW metrics and documentation to ensure consistent decision-making across teams.
• Integrate data from HR systems, OfficeSpace, badge and access systems, meeting‑room bookings, and real‑time presence and occupancy sensors.
• Implement data quality checks, tests, and monitoring to ensure the reliability of REW metrics.
• Build real‑time data pipelines that support agent‑based operational applications.
• Partner with product managers and engineers to evolve and scale the REW data platform.

Analytics Engineer – Real Estate and Workplace

Backend Engineer

• Design and operate the infrastructure that powers connector sync, indexing, and retrieval at scale (job orchestration, queues, storage, caching, backpressure).
• Build the “control plane” primitives for connectors: rollout controls, configuration management, permissions, policy enforcement, and kill switches.
• Own reliability and operational excellence: SLOs, monitoring/alerting, incident response, postmortems, on-call health, and capacity planning.
• Create guardrails for safe multi-tenant execution: isolation boundaries, secrets handling, rate limits, abuse prevention, and blast-radius reduction.
• Partner with security and compliance teams to ensure enterprise requirements are met (audibility, least privilege, data retention, and secure-by-default architecture).
• Improve developer velocity via internal tooling: local dev workflows, canary environments, load testing, and observability dashboards.

Backend Software Engineer – B2B Connectors

User Researcher

• Design and execute quantitative research across the product lifecycle, from foundational understanding to concept validation, prototyping, and usability evaluation.
• Partner with product managers, designers, engineers, and data scientists to identify high-impact opportunities where quantitative insights can meaningfully shape product decisions.
• Lead rigorous, customized studies that answer both strategic and tactical questions, using methods such as surveys, experiments, and behavioral data analysis.
• Translate complex data into clear, actionable recommendations that drive alignment and decision-making across teams.
• Apply strong survey methodology and statistical rigor to ensure findings are valid, reliable, and decision-ready.
• Influence product direction through close cross-functional collaboration and clear, audience-appropriate storytelling.

Quantitative UX Researcher

Procurement

• Own the intake-to-PO operating model, including request validation, routing, PO creation, change management, and supplier master data.
• Ensure every request and PO is complete, policy-aligned, and audit-ready, with clean metadata that supports invoice matching and reporting.
• Increase first-pass invoice match rates by improving upstream data quality and exception logic.
• Reduce P2P cycle time through automation, self-service, and disciplined queue management.
• Codify approval rules, exception handling, and segregation of duties directly into Zip, Oracle, and connected systems.
• Expand and refine AI-assisted triage, validation, and routing so more volume moves through the system with less manual touchpoints.
• Build and maintain dashboards and operational metrics to track intake health, cycle time, exception rates, and control performance.
• Partner with Legal, Security, TPRM, and Finance Systems to ensure controls and policies are reflected in how work actually flows.
• Serve as the escalation point when operational breakdowns occur — and lead the resolution through to a clean outcome.

Procurement Operations Leader

Technical Recruiter

• Lead sourcing strategies for engineering roles supporting B2B and enterprise-facing products.
• Build and maintain strong pipelines of passive candidates through proactive outreach, research, and networking.
• Partner closely with recruiters and hiring managers to understand role requirements, team needs, and shifting priorities.
• Leverage advanced sourcing tools and techniques to identify high-impact talent in competitive markets.
• Maintain accurate candidate data and sourcing metrics to inform strategy and execution.

Technical Sourcer

Machine Learning Engineer

• Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security.
• Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.
• Partner with researchers to deeply understand requirements and translate them into production-ready systems.
• Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.

Machine Learning Engineer, Distributed Data Systems

Account Executive

• Manage a focused set of key state and local government accounts, developing and executing comprehensive state and local government account plans
• Lead state and local government customers through their AI adoption journey, from consideration to successful deployment
• Partner with solutions and research engineering to build and execute complex government customer programs and projects
• Own and manage a state and local government consumption revenue target
• Oversee consumption revenue forecasting and reporting
• Analyze key state and local government account metrics and provide insights to internal and external stakeholders
• Closely monitor the state and local government landscape (agencies, policies, competitors, partners, etc.) to inform product roadmaps and corporate strategies
• Collaborate cross-functionally with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering
• Support the recruitment and onboarding of state and local government-focused team members
• Foster the development of our company culture within the state and local government practice

Account Director – State and Local Government

Brand Designer

• Design scalable creative systems that translate OpenAI’s brand into breakthrough creative ideas across growth, social, paid, and lifecycle channels.
• Partner with brand, motion and campaign design teams to raise the craft of execution across all growth creative—typography, layout, motion thinking, and visual storytelling.
• Translate abstract ideas and complex technology into clear, inspiring, and elegant visual communication.
• Help shape creative process and resources (frameworks, templates, toolkits) to enable scale and innovation.
• Partner with growth teams to inject relevant insights into every stage of the creative process.
• Steer external agencies by setting direction, providing feedback, and ensuring work meets OpenAI’s creative and brand standards.
• Lead briefs for both evergreen and campaign work as a key representative of both brand and growth teams.
• Participate in design sprints to quickly translate strategy and insights into a broad range of performance-ready creative.

Brand Designer – Growth

Manager

• Manage and coordinate multiple concurrent content and engagement projects, ensuring clear timelines, ownership, and deliverables across internal teams and external partners.
• Serve as the operational point person for consultants and vendors, coordinating scopes of work, timelines, inputs, and approvals.
• Coordinate and execute internal and external meetings, managing end-to-end logistics across parallel workstreams.
• Synthesize insights from research, convenings, and engagements to support internal and external knowledge-sharing and inform future content and strategy.
• Organize events, workshops, and engagements with national partners, policymakers, and industry leaders, with an emphasis on economic-focused programming.
• Manage a broader team-wide editorial calendar and anticipate bottlenecks, flag risks early, and proactively propose solutions to keep projects on track.